Integrating Frailty and Cognitive Phenotypes: Why, How, Now What?

The measurement properties and feasibility of FRAIL scale in older adults: A systematic review and meta-analysis

Frailty is a prevalent condition amongst older adults, significantly affecting their quality of life. The FRAIL tool has been purposefully designed for clinical application by assisting healthcare professionals in identifying and managing frailty-related issues in older adults, making it a preferred choice for assessing frailty across diverse older populations. This review aimed to synthesize the measurement properties and feasibility of FRAIL. Guided by COSMIN guidelines, seven databases were searched from inception to 31 Mar 2023. The measurement properties were extracted for quality appraisal of the populations in the studied samples. Where possible, random-effects meta-analysis and meta-regression were used for quantitative synthesis. Eighteen articles containing 273 tests were drawn from 14 different populations. We found that populations testing for criterion validity had high-quality ratings, while construct validity ratings varied based on health status and geographical region. Test-retest reliability had sufficient quality ratings, while scale agreement had sufficient ratings in only four out of 14 populations tested. Responsiveness ratings were insufficient in seven out of eight populations, with inconsistent ratings in one population. Our analysis of missing data across three articles showed a 16.3% rate, indicating good feasibility of the FRAIL. FRAIL is a feasible tool for assessing frailty of older adults in community settings, with good criterion validity and test-retest reliability. However, more research is needed on construct validity and responsiveness.

Screening of Hospitalized Elderly Patients for Frailty and Associated Co-morbid Conditions in Western Gujarat in India

Background

Older patients admitted to hospitals have a greater impact on the healthcare system as the population ages. The relationship between the recovery of functional impairments and frailty status in geriatric care units is still not clear. Simple screening technologies are required in order to operationalize frailty management in this susceptible population due to these restrictions. Aim: The study aims to screen hospitalized older adults for frailty and associated co-morbid conditions in western Gujarat, India.

Materials and Methods

This is an institutionally based cross-sectional study conducted on the elderly patients (aged 60 years or more) admitted at the tertiary-level government hospital of Jamnagar District of Gujarat State during the period of October 22 to December 22. The assessment was done with a structured questionnaire for FRAIL screen, the Rapid Cognitive Screen (RCS), Charles Co-morbidity Index, Geriatric Depression Scale-5 (GDS-5), and Short Form-12 (SF-12) Health Survey.

Results

The overall findings of this study reveal that of 124 participants 34 (27%) were frail, 52 (42%) were found to be a likelihood of depression by the GDS, and 29 (23%) were having dementia by RCS, respectively. In our study, we also found a statistically significant association between frailty and dementia (P value < 0.001).

Conclusion

The present study implies the prevalence of frailty among old age elderly patients and its association with various socio-demographic and co-morbid conditions of the participants. Early identification of frailty and co-morbid conditions can help to prevent adverse health outcomes.

Association of cognitive frailty and abdominal obesity with cardiometabolic multimorbidity among middle-aged and older adults: A longitudinal study

BACKGROUND

Cognitive frailty and abdominal obesity are deemed to be important targets for disease prevention. However, a possible cardiometabolic multimorbidity (CMM) link with cognitive frailty and abdominal obesity is unknown. The aim of this study was to investigate the association of cognitive frailty and abdominal obesity with CMM in the middle-aged and older people.

METHODS

The sample comprised 11,503 participants aged 45 and over from the China Health and Retirement Longitudinal Study (CHARLS) 2011. Cognitive frailty was defined as the coexisting cognitive impairment and physical frailty. Abdominal obesity was assessed using waist circumference. CMM was defined as the presence of two or more cardiometabolic diseases (CMDs), including diabetes, heart disease, and stroke. A total of 9177 participants without CMM recruited from CHARLS 2011 and were followed up in 2018.

RESULTS

Compared with 0 CMD, coexisting cognitive frailty and abdominal obesity was associated with the risk of 1 CMD (OR: 1.734, 95 % CI: 1.133-2.655), and ≥ 2 CMDs (OR: 7.218, 95%CI: 3.216-16.198). Longitudinal analysis showed that individuals with both cognitive frailty and abdominal obesity (HR: 2.162, 95%CI: 1.032-4.531) were more likely to have new onset CMM than cognitive frailty alone peers (HR: 1.667, 95 % CI: 0.721-3.853). Among the participants with first CMD, the likelihood of CMM was substantially higher in the co-existence of cognitive frailty and abdominal obesity (HR: 3.073, 95%CI: 1.254-7.527) than in the abdominal obesity alone (HR: 1.708, 95%CI: 1.201-2.427). Cognitive frailty alone was not significantly associated with CMM.

CONCLUSION

Cognitive frailty is not independently associated with the risk of CMM, but cognitive frailty and abdominal obesity together has a greater risk of CMM.

Spreading Senescent Cells' Burden and Emerging Therapeutic Targets for Frailty

The spreading of senescent cells' burden holds profound implications for frailty, prompting the exploration of novel therapeutic targets. In this perspective review, we delve into the intricate mechanisms underlying senescent cell spreading, its implications for frailty, and its therapeutic development. We have focused our attention on the emerging age-related biological factors, such as microbiome and virome alterations, elucidating their significant contribution to the loss of control over the accumulation rate of senescent cells, particularly affecting key frailty domains, the musculoskeletal system and cerebral functions. We believe that gaining an understanding of these mechanisms could not only aid in elucidating the involvement of cellular senescence in frailty but also offer diverse therapeutic possibilities, potentially advancing the future development of tailored interventions for these highly diverse patients.

Cognitive Impairment Predicts Sarcopenia 9 Years Later Among Older Adults

OBJECTIVE

To assess the longitudinal association between cognitive impairment and sarcopenia in a sample of Brazilian community-dwelling older adults.

DESIGN

Nine-year observational prospective study.

SETTING AND PARTICIPANTS

A total of 521 community-dwelling older adults from 2 Brazilian sites of the Frailty in Brazilian Older Adults (FIBRA in Portuguese) study.

METHODS

Sarcopenia was defined as low hand-grip strength and low muscle mass. Cognitive impairment was determined at baseline using the Mini-Mental State Examination, with education-adjusted cutoff scores. The logistic regression model was used to assess the association between cognitive impairment and incident sarcopenia after adjusting for gender, age, education, morbidities, physical activity, and body mass index. Inverse probability weighting was applied to correct for sample loss at follow-up.

RESULTS

The mean age of the study population was 72.7 (±5.6) years, and 365 were women (70.1%). Being 80 years and older (odds ratio [OR], 4.62; 95% CI, 1.38-15.48; P = .013), being under- and overweight (OR, 0.29; 95% CI, 0.11-0.76; P = .012, and OR, 5.12; 95% CI, 2.18-12.01; P < .001, respectively) and having cognitive impairment (OR, 2.44; 95% CI, 1.18-5.04; P = .016) at baseline predicted sarcopenia after 9 years.

CONCLUSION AND IMPLICATIONS

Cognitive impairment may predict sarcopenia in Brazilian older adults. More studies are necessary to identify the main mechanisms shared by sarcopenia and cognitive decline, which could support the development of prevention interventions.

Body Mass Index and Cognition: Associations Across Mid- to Late Life and Gender Differences

BACKGROUND

Higher mid-life body mass index (BMI) is associated with lower late-life cognition. Associations between later-life BMI and cognition are less consistent; evidence suggests reverse causation may play a role. We aimed to characterize associations between BMI and cognition across a wide age range during mid- to late life (55-85 years) and examine whether associations vary by gender.

METHODS

We used data from the Health and Retirement Study (HRS) (N = 39,153) to examine the association between BMI and 3 cognitive outcomes: cognitive level, cognitive decline, and cognitive impairment. We used a series of linear regression, mixed effects regression, and logistic regression models, adjusting for potential confounders.

RESULTS

Higher BMI before age 65 (midlife) was associated with lower cognitive performance, faster rates of cognitive decline, and higher odds of cognitive impairment in late life. Averaging across analyses assessing associations between BMI measured before age 60 and late-life cognition, a 5-unit higher level of BMI was associated with a 0.26 point lower cognitive score. Beyond age 65, associations flipped, and higher BMI was associated with better late-life cognitive outcomes. Associations in both directions were stronger in women. Excluding those with BMI loss attenuated findings among women in older ages, supporting the reverse causation hypothesis.

CONCLUSIONS

In this sample, age 65 represented a critical turning point between mid- and late life for the association between BMI and cognition, which has important implications for recruitment strategies for studies focused on risk factors for late-life cognitive outcomes. Evidence of gender differences raises the need to further investigate plausible mechanisms.

Validation of the self-reported domains of the Edmonton Frail Scale in patients 65 years of age and older

INTRODUCTION

In the era of virtual care, self-reported tools are beneficial for preoperative assessments and facilitating postoperative planning. We have previously reported the use of the Edmonton Frailty Scale (EFS) as a valid preoperative assessment tool.

OBJECTIVE

We wished to validate the self-reported domains of the EFS (srEFS) by examining its association with loss of independence (LOI) and mortality.

METHODS

This is a post-hoc analysis of a single-institution observational study of patients 65 years of age or older undergoing multi-specialty surgical procedures and assessed with the EFS in the preoperative setting. Exploratory data analysis was used to determine the threshold for identifying frailty using the srEFS. Procedures were classified using the Operative Stress Score (OSS) scored 1 to 5 (lowest to highest). Hierarchical Condition Category (HCC) was utilized to risk-adjust. LOI was described as requiring more support at discharge and mortality was defined as death occurring up to 30 days following surgery. Receiver operating characteristic (ROC) curves were used to determine the ability of the srEFS to predict the outcomes of interest in relation to the EFS.

RESULTS

Five hundred thirty-five patients were included. Exploratory analysis confirmed best positive predictive value for srEFS was greater or equal to 5. Overall, 113 (21 percent) patients were considered high risk for frailty (HRF) and 179 (33 percent) patients had an OSS greater or equal to 5. LOI occurred in 7 percent (38 patients) and the mortality rate was 4 percent (21 patients). ROC analysis showed that the srEFS performed similar to the standard EFS with no difference in discriminatory thresholds for predicting LOI and mortality. Examination of the domains of the EFS not included in the srEFS demonstrated a lack of association between cognitive decline and the outcomes of interest. However, functional status assessed with either the Get up and Go (EFS only) or self-reported ADLs was independently associated with increased risk for LOI.

CONCLUSION

This study shows that self-reported EFS may be an optional preoperative tool that can be used in the virtual setting to identify patients at HRF. Early identification of patients at risk for LOI and mortality provides an opportunity to implement targeted strategies to improve patient care.

Effects of reversible cognitive frailty on disability, quality of life, depression, and hospitalization: a prospective cohort study

OBJECTIVES

Cognitive frailty, a potentially reversible condition describing the concurrence of physical frailty and mild cognitive impairment (MCI), has been recently proposed to incorporate subjective cognitive decline (SCD), a reversible pre-MCI state with more readily available cognitive reserve, as well as pre-physical frailty. Reversible cognitive frailty has been associated with dementia and mortality. We aimed to examine the association of reversible cognitive frailty with other adverse outcomes including disability, poor quality of life (QOL), depression, and hospitalization.

METHODS

This was a cohort study with 1-year follow-up among 735 Chinese community-dwelling older adults with intact cognition. Reversible cognitive frailty was operationalized with the presence of pre-physical or physical frailty identified by the Frailty Phenotype and SCD identified by the simplified SCD questionnaire including four self-report cognitive domains of memory, naming, orientation, and mathematical reasoning. Adverse outcomes included incident Activities of Daily Living (ADL)-Instrumental ADL (IADL) disability, poor physical, mental and overall QOL, depression, and hospitalization over 1-year follow-up.

RESULTS

The prevalence of reversible cognitive frailty was 27.8%. Participants with reversible cognitive frailty had higher risk of the incidence of ADL-IADL disability, poor physical QOL, poor mental QOL, poor overall QOL, and depression (Odds Ratios: 1.67-4.38, P < 0.05), but not higher risk of hospitalization over 1-year follow-up.

CONCLUSION

Reversible cognitive frailty was not uncommon and associated with incident disability, poor QOL, and depression among community-dwelling older adults. Early identification of reversible cognitive frailty can facilitate targeted interventions and may promote independence in older adults.

Supplemental data for this article is available online at http://dx.doi.org/10.1080/13607863.2021.2011835.

Aging metrics incorporating cognitive and physical function capture mortality risk: results from two prospective cohort studies

BACKGROUND

Aging metrics incorporating cognitive and physical function are not fully understood, hampering their utility in research and clinical practice. This study aimed to determine the proportions of vulnerable persons identified by three existing aging metrics that incorporate cognitive and physical function and the associations of the three metrics with mortality.

METHODS

We considered three existing aging metrics including the combined presence of cognitive impairment and physical frailty (CI-PF), the frailty index (FI), and the motoric cognitive risk syndrome (MCR). We operationalized them using data from the China Health and Retirement Longitudinal Study (CHARLS) and the US National Health and Nutrition Examination Survey (NHANES). Logistic regression models or Cox proportional hazards regression models, and receiver operating characteristic curves were used to examine the associations of the three metrics with mortality.

RESULTS

In CHARLS, the proportions of vulnerable persons identified by CI-PF, FI, and MCR were 2.2, 16.6, and 19.6%, respectively. Each metric predicted mortality after adjustment for age and sex, with some variations in the strength of the associations (CI-PF, odds ratio (OR) (95% confidence interval (CI)) 2.87 (1.74-4.74); FI, OR (95% CI) 1.94 (1.50-2.50); MCR, OR (95% CI) 1.27 (1.00-1.62)). CI-PF and FI had additional predictive utility beyond age and sex, as demonstrated by integrated discrimination improvement and continuous net reclassification improvement (all P < 0.001). These results were replicated in NHANES.

CONCLUSIONS

Despite the inherent differences in the aging metrics incorporating cognitive and physical function, they consistently capture mortality risk. The findings support the incorporation of cognitive and physical function for risk stratification in both Chinese and US persons, but call for caution when applying them in specific study settings.

How gait influences frailty models and health-related outcomes in clinical-based and population-based studies: a systematic review

Aging is often associated with a decline in physical function that eventually leads to loss of autonomy in activities of daily living (ADL). Walking is a very common ADL, important for main determinants of quality of life in older age, and it requires the integration of many physiological systems. Gait speed has been described as the 'sixth vital sign' because it is a core indicator of health and function in aging and disease. We reviewed original studies up to June 2020 that assessed frailty in both longitudinal and cross-sectional observational studies, paying particular attention to how gait is measured in older population and how the gait parameter adopted may influence the estimated frailty models and the health-related outcomes of the various studies (i.e. clinical, cognitive, physical, and nutritional outcomes). Eighty-five studies met the search strategy and were included in the present systematic review. According to the frailty tools, more than 60% of the studies used the physical phenotype model proposed by Fried and colleagues, while one-third referred to multi-domain indexes or models and only 5% referred to other single-domain frailty models (social or cognitive). The great heterogeneity observed in gait measurements and protocols limited the possibility to directly compare the results of the studies and it could represent an important issue causing variability in the different outcome measures in both clinical-and population-based settings. Gait appeared to be an indicator of health and function also in frail older adults, and different gait parameters appeared to predict adverse health-related outcomes in clinical, cognitive, and physical domains and, to a lesser extent, in nutritional domain. Gait has the potential to elucidate the common basic mechanisms of cognitive and motor decline. Advances in technology may extend the validity of gait in different clinical settings also in frail older adults, and technology-based assessment should be encouraged. Combining various gait parameters may enhance frailty prediction and classification of different frailty phenotypes.

Progression of Physical Frailty and the Risk of All-Cause Mortality: Is There a Point of No Return?

OBJECTIVES

To investigate the rate and patterns of accumulation of frailty manifestations in relationship to all-cause mortality and whether there is a point in the progression of frailty beyond which the process becomes irreversible and death becomes imminent (a.k.a. point of no return).

DESIGN

Longitudinal observational study.

SETTING

Community or a non-nursing home residential care setting.

PARTICIPANTS

Two thousand five hundred and fifty seven robust older adults identified at baseline in 2011 with follow-up for all-cause mortality between 2011 and 2018.

MEASUREMENTS

Frailty was measured by the physical frailty phenotype. Cox models were used to study the relationships of the number of frailty criteria (0-5) at each point in time and its accumulation patterns with all-cause mortality. Markov state-transition models were used to study annual transitions between health states (i.e., frailty, recovery, and death) after becoming frail among those with frailty onset (n = 373).

RESULTS

There was a nonlinear association between greater number of frailty criteria and increasing risk of mortality, with a notable risk acceleration after having accumulated all five criteria (hazard ratio (HR) = 32.6 vs none, 95% confidence interval (CI) = 15.7-67.5). In addition, the risk of one-year mortality tripled, and the likelihood of recovery (i.e., reverting to be robust or pre-frail) halved among those with five frailty criteria compared to those with three or four criteria. A 50% increase in mortality risk was also associated with frailty onset without (vs with) a prior history of pre-frailty (HR = 1.51, 95% CI = 1.20-1.90).

CONCLUSION

Both the number and rate of accumulation of frailty criteria were associated with mortality risk. Although there was insufficient evidence to declare a point of no return, having all five-frailty criteria signals the beginning of a transition toward a point of no return. Ongoing monitoring of frailty progression could aid clinical and personal decision-making regarding timing of intervention and eventual transition from curative to palliative care.

Principles and Issues for Physical Frailty Measurement and Its Clinical Application

INTRODUCTION

"Frailty" has attracted attention for its promise of identifying vulnerable older adults, hence its potential use to better tailor geriatric health care. There remains substantial controversy, however, regarding its nature and ascertainment. Recent years have seen a proliferation of frailty assessment methods. We argue that the development of frailty assessments should be grounded in "validation"-the process of substantiating that a measurement accurately and precisely measures what it intends, identify unresolved measurement issues, and highlight measurement-related considerations for clinical practice.

METHODS

Principles for validating frailty measures are elucidated. We follow principles-articulated, for example, by Borsboom-in which a construct must be clearly defined and then analyses undertaken to substantiate that a measurement accurately and precisely measures what it intends. Key elements are content validity, criterion validity, and construct validity, with an emphasis on the latter.

RESULTS

We illustrate the principles for a physical frailty phenotype construct.

CONCLUSIONS

Unresolved conceptual issues include the roles of intersecting concepts such as cognition, disease severity, and disability in frailty measurement, conceptualization of frailty as a state versus a continuum, and the potential need for dynamic measures and systems concepts in furthering understanding of frailty. Clinical considerations include needs to distinguish interventions designed to address frailty "symptoms" versus underlying physiology, improve "prefrailty" measures intended to screen individuals early in their frailty progression, address feasibility demands, and further visioning followed by rigorous efficacy research to address the landscape of potential uses of frailty assessment in clinical practice.

The physical frailty syndrome as a transition from homeostatic symphony to cacophony

Frailty in aging marks a state of decreased reserves resulting in increased vulnerability to adverse outcomes when exposed to stressors. This Perspective synthesizes the evidence on the aging-related pathophysiology underpinning the clinical presentation of physical frailty as a phenotype of a clinical syndrome that is distinct from the cumulative-deficit-based frailty index. We focus on integrating the converging evidence on the conceptualization of physical frailty as a state, largely independent of chronic diseases, that emerges when the dysregulation of multiple interconnected physiological and biological systems crosses a threshold to critical dysfunction, severely compromising homeostasis. Our exegesis posits that the physiology underlying frailty is a critically dysregulated complex dynamical system. This conceptual framework implies that interventions such as physical activity that have multisystem effects are more promising to remedy frailty than interventions targeted at replenishing single systems. We then consider how this framework can drive future research to further understanding, prevention and treatment of frailty, which will likely preserve health and resilience in aging populations.

U.S. National Profile of Older Adults with Cognitive Impairment Alone, Physical Frailty Alone, and Both

BACKGROUND/OBJECTIVES

To obtain national and regional estimates of prevalence of frailty with or without cognitive impairment, and cognitive impairment with or without frailty among older adults in the United States, and to identify profiles of characteristics that distinguish their joint versus separate occurrence.

DESIGN

Cross-sectional.

SETTING

Community or non-nursing home residential care settings.

PARTICIPANTS

A U.S. nationally representative sample of 7,497 older adults aged 65 and older from the National Health and Aging Trends Study.

MEASUREMENTS

Frailty was measured by the physical frailty phenotype. Cognitive impairment was assessed by cognitive performance testing of executive function and memory or by proxy reports. Multinomial logistic regression was used to identify profiles of demographic, socioeconomic, health, behavioral, and psychosocial characteristics that distinguish four subgroups: not-frail and cognitively intact ("neither"), not-frail and cognitively impaired ("Cog. only"), frail and cognitively intact ("frailty only"), and frail and cognitively impaired ("both").

RESULTS

The prevalence of "Cog. only," "frailty only," and "both" was 25.5%, 5.6%, and 8.7%, respectively. Individuals with"frailty only" had the highest prevalence of obesity, current smoking, comorbidity, lung disease, and history of surgery. The "both" group had the highest prevalence of dementia, depression, cardiovascular diseases, and disability. No significant differences were found between the "Cog. only" group and the "neither" group with respect to history of surgery and comorbidity burden. The prevalence of dementia in the "Cog. only" was less than half of that in the "both" group.

CONCLUSION

The finding of sizable subgroups having physical frailty but not cognitive impairment, and vice versa, suggests that the two cannot be considered necessarily as antecedent or sequela of one another. The study provided empirical data supporting the prioritization of comorbidity, obesity, surgery history, and smoking status in clinical screening of frailty and cognitive impairment before formal diagnostic assessments.

Loss of Independence in Older Patients after Operation for Colorectal Cancer

BACKGROUND

Disease-free survival is the cornerstone for colorectal cancer outcomes. Maintenance of independence may represent the preferred cancer outcome in older patients. Frailty and cognitive impairment are associated with adverse clinical outcomes after operation in patients ≥65 years. The aim of this study was to determine the impact of frailty and cognitive impairment on loss of independence (LOI) among colorectal cancer patients.

STUDY DESIGN

From 2016 to 2018, patients undergoing operation for colorectal cancer and having geriatric-specific American College of Surgeons NSQIP variables recorded were included. Frailty was assessed using the modified frailty index. Loss of independence was defined by the need for assistance with activities of daily living. Complications were assessed using the Clavien-Dindo (CD) scoring system. Multivariable analyses examining LOI, length of stay (LOS), and 30-day postoperative complication and readmission were performed.

RESULTS

There were 1,676 patients included. Preoperatively, 118 (7%) patients reported cognitive impairment, 388 (23%) patients used a mobility aid, and 82 (5%) patients were partially or totally dependent. Loss of independence upon discharge was seen in 344 (20.5%) patients and was independently associated with an increase in LOS (incidence rate ratio [IRR] 1.44, 95% CI 1.30 to 1.59) and major complication (odds ratio [OR] 1.86, 95% CI 1.36 to 2.53). Risk factors predictive of LOI upon discharge were increasing age, cognitive impairment, use of mobility aid, and postoperative delirium. In patients ≥80 years old, 93 (18%) had LOI at 30 days. Risk factors predictive of LOI at 30 days included a preoperative mobility aid, postoperative delirium, and the need for a new mobility aid.

CONCLUSIONS

One of 5 older patients undergoing operation for colorectal cancer experience LOI, and risk factors include a decline in cognition and mobility. Future studies should evaluate risks for long-term LOI and explore interventions to optimize this patient population.